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Theory

4950 directly classified papers

Papers per year

Papers

Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts JMLR 2024
On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing JMLR 2024
Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm JMLR 2024
On the Optimality of Misspecified Spectral Algorithms JMLR 2024
Sharp analysis of power iteration for tensor PCA JMLR 2024
Grokking phase transitions in learning local rules with gradient descent JMLR 2024
On the Connection between Lp- and Risk Consistency and its Implications on Regularized Kernel Methods JMLR 2024
High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise JMLR 2024
Learning with a linear loss function: excess risk and estimation bounds for ERM, minmax MOM and their regularized versions with applications to robustness in sparse PCA. JMLR 2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets JMLR 2024
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise AAAI 2024
The Irrelevance of Influencers: Information Diffusion with Re-Activation and Immunity Lasts Exponentially Long on Social Network Models AAAI 2024
Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations AAAI 2024
Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games AAAI 2024
Emotion Arithmetic: Emotional Speech Synthesis via Weight Space Interpolation INTERSPEECH 2024
Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models ACL 2024
Towards Benchmarking Situational Awareness of Large Language Models:Comprehensive Benchmark, Evaluation and Analysis EMNLP 2024
A Meta-Learning Perspective on Transformers for Causal Language Modeling ACL 2024
Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions EMNLP 2024
Can Large Language Models Learn Independent Causal Mechanisms? EMNLP 2024
Beyond Classification: Definition and Density-Based Estimation of Calibration in Object Detection WACV 2024
A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios EMNLP 2024
Critical Gap Between Generalization Error and Empirical Error in Active Learning WACV 2024
Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models ACL 2024